An Automatic Analysis System for Firearm Identification Based on Ballistics Projectile

  • Jun Kong
  • Dongguang Li
  • Chunnong Zhao
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3066)


Characteristic markings on the cartridge and projectile of a bullet are produced when a gun is fired. Over thirty different features within these marks can be distinguished, which in combination produce a ”fingerprint” for identification of a firearm. Given a means of automatically analyzing features within such a firearm fingerprint, it will be possible to identify not only the type and model of a firearm, but also each individual weapon as effectively as human fingerprint identification can be achieved. In this paper, a new analytic system based on fast Fourier transform (FFT) for identifying the projectile specimens digitized using the line-scan imaging technique automatically is proposed. Experimental results show that the proposed system has the ability of efficient and precise analysis and identification for projectiles specimens.


Fast Fourier Transform Angular Spectrum Fast Fourier Transform Spectrum Ballistic Specimen Automatic Analysis System 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2004

Authors and Affiliations

  • Jun Kong
    • 1
    • 2
  • Dongguang Li
    • 1
  • Chunnong Zhao
    • 1
  1. 1.School of Computer and Information ScienceEdith Cowan UniversityPerthWestern Australia
  2. 2.School of Computer ScienceNortheast Normal UniversityChangchun, JilinChina

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